English(EN) A Closed-Loop Non-Asymptotic Convergence Analysis of PPO with Learned Critics and Clipping

新分析为 PPO-Clip 调优提供理论指导

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-08 04:00

研究人员开发了一种新的近端策略优化（PPO）与剪辑（PPO-Clip）的非渐近收敛性分析，将其视为一个闭环演员-评论家系统。该分析考虑了评论家学习、剪辑和回放重用等因素，为策略平稳性和评论家跟踪准确性提供了理论保证。研究结果为 PPO-Clip 的调优提供了指导，并建议在某些配置下具有多项式样本复杂度。 AI

影响提供了可能改进强化学习代理性能和调优的理论见解。

排序理由学术论文，详细介绍了对现有算法的新理论分析。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Junwei Su, Mengfan Liu, Yanyong Zhang, Chuan Wu · 2026-10-08 04:00

PPO结合学习型评论员和裁剪的闭环非渐近收敛性分析

arXiv:2610.10273v1 Announce Type: new Abstract: Despite its widespread use, Proximal Policy Optimization with clipping (PPO-Clip) remains difficult to tune, and the interactions among critic learning, clipping, and rollout reuse remain incompletely understood. We develop a \emph{…

本文如何被排名

报道来源 [1]

PPO结合学习型评论员和裁剪的闭环非渐近收敛性分析

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